Browse Models
The simplest way to self-host epiCPhotoGasm. Launch a dedicated cloud GPU server running Lab Station OS to download and serve the model using any compatible app or framework.
Download model weights for local inference. Must be used with a compatible app, notebook, or codebase. May run slowly, or not work at all, depending on your system resources, particularly GPU(s) and available VRAM.
epiCPhotoGasm is a Stable Diffusion model that generates images from simple text descriptions without requiring technical terminology. It works effectively with basic parameters (20 sampling steps) and minimal prompt engineering. Available in multiple variants including Ultimate Fidelity and Last Unicorn series.
epiCPhotoGasm is a Stable Diffusion checkpoint model designed to excel at photorealistic image generation with minimal prompt engineering. Released on April 5, 2024, and last updated October 5, 2024, this model represents a significant advancement in AI image generation technology, particularly in its ability to produce highly realistic outputs without extensive negative prompting.
The model's primary strength lies in its inherent understanding of photographic elements, eliminating the need for explicit terms like "photorealistic" or "4k" in prompts. It demonstrates remarkable versatility across different subjects, particularly excelling in generating images of people across various ethnicities and age ranges.
The model's capabilities extend beyond human subjects, as demonstrated by its ability to generate highly realistic images of various subjects, from natural landscapes to animals in unique situations:
The model is available as a pruned fp16 model, with a file size of 1.99 GB. Optimal usage parameters include:
The epiCPhotoGasm family includes multiple variants, each designed for specific use cases:
Each variant comes with its corresponding inpainting version where applicable. While specific differences between variants aren't detailed in the documentation, the naming convention suggests a progression in capabilities and specialization for different use cases.
The model is released under the CreativeML Open RAIL-M license with a specific addendum. Users should review both the base Stable Diffusion License and the model-specific addendum before use.